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Human Accountability in AI Systems - Explainable AI Systems - Safety Critical Automatic Decision Systems - AI Technical, Ethical and Social Risk Analysis specialist
Inventor of the Lifelong Learning Neural System PALM (Probabilistic Adaptive Learning Mapper). Inventor of the Neural Classifier SHARP (Systolic Hebb Agnostic Resonance Perceptron) that is a RULE-BASED NEURAL NETWORK for EXPLAINABLE AI. Inventor and developer of the first (1998) Neural Server based on Neuromorphic Chips. Inventor of the first (1999) Context Based Internet Search Engine based on Neuromorphic Chips. I published (1995) on the web with open access the most read introductory book on neural networks and fuzzy logic in italian language. This book has been a reference for many Italian University theses on neural networks from 1995 to 2005. I have twenty years experience in simulation and application of neural networks and digital neural VLSI. I am designer and developer of the first Common Object Request Broker Architecture (CORBA) neural server based on neural digital VLSI. I presented this technology at Third International Conference on Cognitive and Neural Systems (Boston 1998) and ANNIE2000 (Artificial Neural Networks In Engineering - University of Missouri-Rolla St.Louis 2000). This project has been the world first "Cloud Machine Learning" system (fifteen years before the invention of the "cloud computing" word). I presented the project specifications of the first Context Based Internet Search Engine based on neural VLSI chips at Fourth International Conference on Cognitive and Neural Systems (Boston 2000). I have experience in preparation/presentation of European Projects and research consortia management (FP6/FP7) and I have been FP6, FP7 and H2020 EU program EXPERT. I have been elected Senior Member of INNS (International Neural Networks Society) in 2011 and IEEE Senior Member in 2019. My current interest is on MACHINE LEARNING for AEROSPACE More informations at: www.synaptics.org
Istituto Tecnico Industriale D. Bosco - Genova
High School, Electrical and Electronics Engineering
January 1, 1979 – January 1, 1983
European Commission
FETPROACT-09-2020 of H2020 programme EXPERT
July 1, 2020 – Present
Rue de la Loi 41, 1000 Bruxelles, Belgium
General Synaptics
Company Owner
January 1, 2020 – Present
genova · On-site
Self Employed
Neural Networks and Soft-Computing consultant
January 1, 1999 – August 1, 2019
GENOVA
Marconi Italiana S.p.A
Senior Software Engineer
January 1, 1994 – January 1, 1998
Marconi Italiana S.p.A
Software Engineer
January 1, 1990 – January 1, 1994
ELAN
January 1, 2002 – January 1, 2007
Acronym: E.L.A.N Easy - Learning - Adaptive - Nimble FP6 - Sixth Framework Programme Project proposal inventor and Consortium manager: Luca Marchese Project Proposal Title: Digital neural network based smart devices Type Details: In the computer's era many technology applications are not user friendly and, often, require experts to be considered useful. The efforts to build more natural Human Computer Interfaces (HCI) seem to be not enough where the lack of adaptive capability requires, however, parameters setting activity and then knowledge. The goal of this research project is to build a framework for developing smart devices based on the vector representation of reality, learning capability and adaptive behavior of digital neural networks. Target applications are smart cameras for work environment safety, adaptive automotive drive assistants, intelligent computer peripherals enabling people with any kind of handicap to use computer and communicate. In an other way, these devices could be integrated as transparent learning and adaptive controllers for any kind of domestic and industrial machinery. The goal is the definition of a common Very High Speed Integrated Circuit Hardware Description Language (VHDL) framework enabling a fast development of specialized applications with the addition of tailored VHDL components and specific hardware sensors. This framework should be portable on many low cost FPGA development boards. INSTRUMENT(S): STREP CALL: IST-2002-2.3.2.4 - Cognitive systems / IST-2002-2.3.2.5 - Embedded systems
EUCLID
January 1, 1994 – December 1, 1998
Design and development of software for the European Union's EUCLID project. A part of the EUCLID project was a war simulator (written in C++) aimed to test the behavior of Expert Systems and other AI technologies for Command and Control. This project is also cited in the book "WAR, SCIENCE and TERRORISM - From Laboratory to Open Conflict".
IEEE Senior Membership
IEEE
June 24, 2026 – Present
NCAGE (NATO Commercial And Government Entity)
NATO
June 24, 2026 – Present
orcid
ORCID
June 24, 2026 – Present
INNS Senior Membership
International Neural Network Society (INNS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research, specialized AI/ML consulting, and defense projects. While demonstrating deep technical expertise, the alignment with a typical 'Backend Engineer' role in a modern tech company might require further assessment. The focus on highly specialized AI/ML algorithms and hardware integration, rather than general backend system design, microservices, or cloud infrastructure, suggests a potential mismatch with standard backend engineering expectations. The candidate's experience is primarily in individual contributor or small team lead roles, which may require adaptation to larger, more structured engineering environments.
Soft Skills & Operational Fit
The candidate's extensive experience as a consultant and company owner suggests strong autonomy, problem-solving skills, and a research-oriented mindset. The project descriptions indicate a capability for leading complex technical initiatives. However, the lack of recent team-based software development roles might indicate a need to assess collaboration and modern agile practices.